{"id":"W4379599293","doi":"10.1128/msystems.00201-23","title":"Physiological and genomic evidence of cysteine degradation and aerobic hydrogen sulfide production in freshwater bacteria","year":2023,"lang":"en","type":"article","venue":"mSystems","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Great Lakes Bioenergy Research Center; National Institute of Food and Agriculture; Joint Genome Institute; University of Wisconsin-Madison; Office of Science; U.S. Department of Agriculture; U.S. Department of Energy; Government of Canada; National Science Foundation","keywords":"Hydrogen sulfide; Cysteine; Degradation (telecommunications); Bacteria; Chemistry; Sulfur; Hydrogen production; Biochemistry; Microbiology; Biology; Genetics; Enzyme; Organic chemistry; Computer science; Catalysis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001683981,0.0004018187,0.0003275665,0.0009235598,0.0002918802,0.0003562535,0.0002082152,0.000364902,0.0004527034],"category_scores_gemma":[0.0004177878,0.0002340352,0.0003032225,0.0009382653,0.0003143175,0.000230016,0.0004976398,0.0001848332,0.0001057423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000308351,"about_ca_system_score_gemma":0.0003549165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004816474,"about_ca_topic_score_gemma":0.00558032,"domain_scores_codex":[0.9997491,0.00002381452,0.00002487964,0.00008480495,0.0000691597,0.00004826012],"domain_scores_gemma":[0.9995068,0.0000663204,0.0001866349,0.0000357726,0.000127103,0.00007737803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001561822,0.00002622275,0.0231954,0.00006412646,0.00001656432,0.00010202,0.0001298246,0.00007961223,0.9744236,0.00002358127,0.00002222336,0.001760621],"study_design_scores_gemma":[0.000008071648,0.0003473152,0.9080693,0.000008891914,0.00004165293,0.0003863269,0.0004611683,0.0006671903,0.0892542,0.00006056248,0.0006765805,0.00001878697],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981813,0.0002110888,0.0004651213,0.00002119538,0.000002908014,0.00001092445,0.0007916391,0.00001493049,0.0003009266],"genre_scores_gemma":[0.9974956,0.0001377296,0.0009480463,0.00002214289,0.000003572148,0.00001844966,0.001011502,0.000004318306,0.0003585865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004816474,"threshold_uncertainty_score":0.009576857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.033012300907645,"score_gpt":0.2443206053838654,"score_spread":0.2113083044762203,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}